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<2012-11-16> by Lorenzo Bolla

Useful scripts - csvfmt, xmlfmt, jsonfmt

This is the third post of a series describing simple scripts that I wrote to ease my life as a programmer.

In this post, I'll describe 3 scripts to "pretty print" some common file types, to improve readability: csvfmt, xmlfmt and jsonfmt.

csvfmt takes a CSV ("Comma Separated Values") file from stdin, parses it and pretty print each record as a Python dictionary.

#!/usr/bin/env python

import csv
import sys
import pprint

for row in csv.DictReader(sys.stdin):

Output looks like this:

% echo 'a,b,c
' | csvfmt
{'a': '1', 'b': '2', 'c': '3'}
{'a': '4', 'b': '5', 'c': '6'}

xmlfmt takes an XML file from either stdin or a file (specified on the cmd line) and extracts all the text from it. This script is thought to be used to read the text embedded in XML tags, and it's analogous to [htmlfmt=][[http://man.cat-v.org/plan_9/1/fmt][5]]. If you want to format an =XML file, maintaining the XML tags, use [xmllint -format=][[http://xmlsoft.org/xmllint.html][6]], or my =[xmlind][7] (described another blog post of this series.)

#!/usr/bin/env python

import xml.dom.minidom
from pylib.xmlutil import getText, getInput

dom = xml.dom.minidom.parse(getInput())

For example:

% echo '<a>a text<b>b text</b>more a text</a>' | xmlfmt
a textb textmore a text

jsonfmt takes a JSON file from stdin and pretty prints it as a Python object.

#!/usr/bin/env python

import json
import sys
import pprint


Try it out:

$> curl 'http://search.twitter.com/search.json?q=lorenzo' | jsonfmt
{u'completed_in': 0.035,
 u'max_id': 267982040698351617L,
 u'max_id_str': u'267982040698351617',
 u'next_page': u'?page=2&max_id=267982040698351617&q=lorenzo',
 u'page': 1,
 u'query': u'lorenzo',
 u'refresh_url': u'?since_id=267982040698351617&q=lorenzo',
 u'results': [{u'created_at': u'Mon, 12 Nov 2012 13:27:52 +0000',
               u'from_user': u'michael_174',
               u'from_user_id': 234373960,
               u'from_user_id_str': u'234373960',
               u'from_user_name': u'Michael Adhiyatama',
               u'geo': None,
               u'id': 267982040698351617L,
               u'id_str': u'267982040698351617',
               u'iso_language_code': u'in',
 etc. etc.

All three scripts are written in Python and available here.